activity
20202024
most citedA modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2

648 citations · 715 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2024★ 1 cited

Advancing Gasoline Consumption Forecasting: A Novel Hybrid Model Integrating Transformers, LSTM, and CNN

Mahmoud Ranjbar, Mohammad Rahimzadeh

Iran, endowed with abundant hydrocarbon resources, plays a crucial role in the global energy landscape. Gasoline, as a critical fuel, significantly supports the nation's transporta…

eess.IV2022★ 18 cited

ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images

Mohammad Rahimzadeh, Mahmoud Reza Mohammadi

Optical coherence tomography (OCT) imaging is a well-known technology for visualizing retinal layers and helps ophthalmologists to detect possible diseases. Accurate and early diag…

cs.CV2021★ 8 cited

Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps

Mohammad Rahimzadeh, AmirAli Askari, Soroush Parvin +2

One of the main challenges since the advancement of convolutional neural networks is how to connect the extracted feature map to the final classification layer. VGG models used two…

cs.CV2020★ 24 cited

Detecting and Counting Pistachios based on Deep Learning

Mohammad Rahimzadeh, Abolfazl Attar

Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open-mouth and Closed-mouth. The open-mouth pistachios are higher in price, va…

eess.IV2020★ 648 cited

A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2

Mohammad Rahimzadeh, Abolfazl Attar

In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID…

cs.CV2020★ 16 cited

Sperm Detection and Tracking in Phase-Contrast Microscopy Image Sequences using Deep Learning and Modified CSR-DCF

Mohammad reza Mohammadi, Mohammad Rahimzadeh, Abolfazl Attar

Nowadays, computer-aided sperm analysis (CASA) systems have made a big leap in extracting the characteristics of spermatozoa for studies or measuring human fertility. The first ste…